NVIDIA hasn’t invested in many crypto projects, but a few names stand out.

Including @MeckaAI, it has invested in nine projects in total. Some of the best-known include $INJ, $ATH, $RENDER, and $FIL.

What’s really worth paying attention to isn’t “which coins NVIDIA invested in,” but why it chose these areas.

$RENDER is focused on rendering compute, while $FIL is focused on decentralized storage. The other projects also tend to fall into areas like computing power, cloud services, and infrastructure.

The logic behind this is simple: AI’s development requires ever more computing power, storage, data, and infrastructure. Crypto is trying to solve exactly how to turn these resources into networks that can be coordinated, settled, and traded globally.

That includes @MeckaAI, which is building an “embodied AI data layer” to address data infrastructure challenges in the robotics and AI industries.

So when studying this list, instead of asking “which coin did NVIDIA bet on?”, it’s more useful to ask:

What will the next phase of AI need?

Where industry investors put their money can offer a map of the sector, but it shouldn’t be treated as a direct signal for token prices.